get_centrality_scores: Returns the centrality values of nodes in a graph using given...

In seekme94/influence.mining: Provides various methods for influence mining on Graphs

Returns the centrality values of nodes in a graph using given method

Description

Returns the centrality values of nodes in a graph using given method

Usage

get_centrality_scores(
  graph,
  centrality_method = c("DEGREE", "ECCENTRICITY", "AVERAGE_DISTANCE", "BARYCENTER",
    "BETWEENNESS", "BOTTLENECK", "CENTROID", "CLOSENESS", "CLUSTERRANK",
    "COMMUNITY_BETWEENNESS", "COMMUNITY_CENTRALITY", "CROSS_CLIQUE",
    "CURRENTFLOW_CLOSENESS", "DECAY", "EDGE_PERCOLATION", "EIGENVECTOR", "ENTROPY",
    "FREEMAN_CLOSENESS", "GEODESIC_K_PATH", "HUBBELL", "KATZ", "LAPLACIAN",
    "LATORA_CLOSENESS", "LEADERRANK", "LEVERAGE", "LINCENT", "LOBBY", "MARKOV",
    "MAX_NEIGHBORHOOD_COMPONENT", "MAX_NEIGHBORHOOD_DENSITY", "PAIRWISE_DISCONNECTIVITY",
         "RADIALITY", "RESIDUAL_CLOSENESS", "SALSA", "SEMILOCAL",
    "TOPOLOGICAL_COEFFICIENT", "VITALITY_CLOSENESS"),
  normalize = FALSE,
  estimate = FALSE,
  cutoff = 0,
  mode = "all"
)

Arguments

graph	is the igraph object
centrality_method	defines the centrality method to be used. Value must be among the values specificed in parameter centrality_method
normalize	scales the values in the output vector between 0 and 1
estimate	uses estimated method when true (should be used on large graphs). FALSE by default
cutoff	max value of path length as cutoff when estimate is TRUE. E.g. in betweenness, the calculation will be only till the path length of 3 if the cutoff = 3

Value

vector of centrality scores

Examples

{
graph <- erdos.renyi.game(500, 0.05)
get_centrality_scores(graph, centrality_method="DEGREE")
get_centrality_scores(graph, centrality_method="BETWEENNESS")
get_centrality_scores(graph, centrality_method="CLOSENESS")
get_centrality_scores(graph, centrality_method="EIGENVECTOR")
get_centrality_scores(graph, centrality_method="ECCENTRICITY")
get_centrality_scores(graph, centrality_method="BETWEENNESS", TRUE, 3)
}

seekme94/influence.mining documentation built on Aug. 2, 2022, 10:19 p.m.